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dictionaries
dictionaries
 
 
example
example
 
 
.env_template
.env_template
 
 
20210930_results_60.csv
20210930_results_60.csv
 
 
20210930_results_90.csv
20210930_results_90.csv
 
 
20210930_results_95.csv
20210930_results_95.csv
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
gender_it_functions.py
gender_it_functions.py
 
 
introduction to gender-it.ipynb
introduction to gender-it.ipynb
 
 
patent_20210930_results.csv
patent_20210930_results.csv
 
 
patent_20210930_results_95.csv
patent_20210930_results_95.csv
 
 
patent_20210930_results_datacleaning.csv
patent_20210930_results_datacleaning.csv
 
 
patent_20210930_results_firstname_only.csv
patent_20210930_results_firstname_only.csv
 
 
patentsview_gender_attribution.py
patentsview_gender_attribution.py
 
 
requirements.txt
requirements.txt
 
 
utilities.py
utilities.py
 
 

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gender_it

Python functions to attribute a gender given a name and optionally a country. Those functions relies on the World Gender Name Dictionary by Julio Raffo (see Raffo, Julio, 2021, "WGND 2.0", https://doi.org/10.7910/DVN/MSEGSJ, Harvard Dataverse, V1, UNF:6:5rI3h1mXzd6zkVhHurelLw== [fileUNF]).

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Python functions to attribute a gender given a name and optionally a country. Those functions relies on the World Gender Name Dictionary by Julio Raffo ( https://doi.org/10.7910/DVN/MSEGSJ)

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